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Yanzhi Wang

Northeastern University - Boston Campus, Electrical and Computer Engineering, Boston, MA, USA

30 papers at tracked venues · 19 at CORE A* · active 2024–2025

DBLP profile ↗ORCID 0000-0002-3024-7990 ↗Google Scholar ↗Homepage ↗

Venues

NeurIPS ×6AAAI ×4CVPR ×4ECCV ×3IJCAI ×3EMNLP ×2ICLR ×2ICML ×2WACV ×2ACM MM ×1ICDM ×1

Frequent coauthors

Xuan Shen
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Zheng Zhan
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Pinrui Yu
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Zichong Meng
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Yifan Gong
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Xiaomeng Yang
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Yuguang Yao
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Changdi Yang
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Qitao Tan
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Yushu Wu
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Lin Zhao
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Jun Liu
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Papers

  1. ALTER: All-in-One Layer Pruning and Temporal Expert Routing for Efficient Diffusion Generation
    NeurIPS 2025 ·
    Xiaomeng Yang
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  2. Can Adversarial Examples be Parsed to Reveal Victim Model Information?
    WACV 2025 ·
    Yuguang Yao
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  3. FairSMOE: Mitigating Multi-Attribute Fairness Problem with Sparse Mixture-of-Experts
    IJCAI 2025 ·
    Changdi Yang
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  4. Harmony in Divergence: Towards Fast, Accurate, and Memory-efficient Zeroth-order LLM Fine-tuning
    NeurIPS 2025 ·
    Qitao Tan
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  5. LazyDiT: Lazy Learning for the Acceleration of Diffusion Transformers
    AAAI 2025 ·
    Xuan Shen
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  6. Numerical Pruning for Efficient Autoregressive Models
    AAAI 2025 ·
    Xuan Shen
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  7. Q-TempFusion: Quantization-Aware Temporal Multi-Sensor Fusion on Bird's-Eye View Representation
    WACV 2025 ·
    Pinrui Yu
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  8. QuartDepth: Post-Training Quantization for Real-Time Depth Estimation on the Edge
    CVPR 2025 ·
    Xuan Shen
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  9. Routing Mamba: Scaling State Space Models with Mixture-of-Experts Projection
    NeurIPS 2025 ·
    Zheng Zhan
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  10. SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device
    CVPR 2025 ·
    Yushu Wu
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  11. Sparse Learning for State Space Models on Mobile
    ICLR 2025 ·
    Xuan Shen
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  12. Taming Diffusion for Dataset Distillation with High Representativeness
    ICML 2025 ·
    Lin Zhao
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  13. Toward Adaptive Large Language Models Structured Pruning via Hybrid-grained Weight Importance Assessment
    AAAI 2025 ·
    Jun Liu
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  14. Agile-Quant: Activation-Guided Quantization for Faster Inference of LLMs on the Edge
    AAAI 2024 ·
    Xuan Shen
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  15. DiffClass: Diffusion-Based Class Incremental Learning
    ECCV 2024 ·
    Zichong Meng
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  16. Digital Avatars: Framework Development and Their Evaluation
    IJCAI 2024 ·
    Timothy Rupprecht
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  17. E2GAN: Efficient Training of Efficient GANs for Image-to-Image Translation
    ICML 2024 ·
    Yifan Gong
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  18. Efficient Training with Denoised Neural Weights
    ECCV 2024 ·
    Yifan Gong
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  19. Exploring Token Pruning in Vision State Space Models
    NeurIPS 2024 ·
    Zheng Zhan
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  20. Fast and Memory-Efficient Video Diffusion Using Streamlined Inference
    NeurIPS 2024 ·
    Zheng Zhan
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  21. FasterVD: On Acceleration of Video Diffusion Models
    IJCAI 2024 ·
    Pinrui Yu
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  22. HybridFlow: Infusing Continuity into Masked Codebook for Extreme Low-Bitrate Image Compression
    ACM MM 2024 ·
    Lei Lu
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  23. InstructGIE: Towards Generalizable Image Editing
    ECCV 2024 ·
    Zichong Meng
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  24. Pruning Foundation Models for High Accuracy without Retraining
    EMNLP 2024 ·
    Pu Zhao
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  25. Reducing Unfairness in Distributed Community Detection
    ICDM 2024 ·
    Hao Zhang
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  26. Rethinking Token Reduction for State Space Models
    EMNLP 2024 ·
    Zheng Zhan
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  27. SNED: Superposition Network Architecture Search for Efficient Video Diffusion Model
    CVPR 2024 ·
    Zhengang Li
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  28. Search for Efficient Large Language Models
    NeurIPS 2024 ·
    Xuan Shen
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  29. TextCraftor: Your Text Encoder can be Image Quality Controller
    CVPR 2024 ·
    Yanyu Li
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  30. Waxing-and-Waning: a Generic Similarity-based Framework for Efficient Self-Supervised Learning
    ICLR 2024 ·
    Sheng Li
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